Search ga_ls5t_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

GQA Circular error probable (90%) from:

GQA Circular error probable (90%) to (exclusive):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

A Landsat Collection 1 Level-1 product identifier including the Collection processing levels, processing date, collection number, and collection tier category (e.g. ‘LE07_L1TP_098084_20210307_20210308_02_RT’) :

A Landsat scene ID including WRS path and row, year and day, ground station identifier and archive version number (e.g. ‘LC80900852021066LGN00’) :

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Landsat region_code is a scene path row: '{:03d}{:03d}.format(path,row)' For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

43 results

Time (local)	Label
1987-08-23 09:05:53	ga_ls5t_ard_3-0-0_093086_1987-08-22_final
1987-12-02 11:00:37	ga_ls5t_ard_3-0-0_112074_1987-12-02_final
1988-05-08 09:40:27	ga_ls5t_ard_3-0-0_098085_1988-05-08_final
1988-07-20 11:12:45	ga_ls5t_ard_3-0-0_113083_1988-07-20_final
1988-10-21 10:37:41	ga_ls5t_ard_3-0-0_108073_1988-10-21_final
1988-12-07 09:57:57	ga_ls5t_ard_3-0-0_101082_1988-12-07_final
1988-12-28 10:14:20	ga_ls5t_ard_3-0-0_104077_1988-12-28_final
1990-10-05 11:04:10	ga_ls5t_ard_3-0-0_114074_1990-10-05_final
1991-04-27 09:55:20	ga_ls5t_ard_3-0-0_102081_1991-04-27_final
1991-09-02 09:56:59	ga_ls5t_ard_3-0-0_102081_1991-09-02_final
1991-09-08 09:21:12	ga_ls5t_ard_3-0-0_096084_1991-09-07_final
1993-10-05 10:19:27	ga_ls5t_ard_3-0-0_106079_1993-10-05_final
1994-08-04 09:31:06	ga_ls5t_ard_3-0-0_099078_1994-08-04_final
1996-03-20 09:05:14	ga_ls5t_ard_3-1-0_097069_1996-03-19_final
1996-09-30 09:04:55	ga_ls5t_ard_3-0-0_095072_1996-09-29_final
1996-10-06 10:08:14	ga_ls5t_ard_3-0-0_105075_1996-10-06_final
1996-11-13 09:31:01	ga_ls5t_ard_3-0-0_099070_1996-11-13_final
1996-12-30 08:57:10	ga_ls5t_ard_3-0-0_092088_1996-12-29_final
1997-03-06 10:19:00	ga_ls5t_ard_3-0-0_106069_1997-03-06_final
1997-10-15 09:43:57	ga_ls5t_ard_3-0-0_099071_1997-10-15_final
1998-02-27 09:56:02	ga_ls5t_ard_3-0-0_100078_1998-02-27_final
1998-03-08 09:46:24	ga_ls5t_ard_3-0-0_099069_1998-03-08_final
1998-04-21 10:11:18	ga_ls5t_ard_3-0-0_103068_1998-04-21_final
1998-04-25 11:28:19	ga_ls5t_ard_3-0-0_115075_1998-04-25_final
1998-11-26 09:58:19	ga_ls5t_ard_3-0-0_100077_1998-11-26_final
1999-01-15 09:46:19	ga_ls5t_ard_3-0-0_098078_1999-01-15_final
1999-04-28 09:52:38	ga_ls5t_ard_3-0-0_099079_1999-04-28_final
1999-06-22 09:57:12	ga_ls5t_ard_3-0-0_100077_1999-06-22_final
2003-07-02 10:50:43	ga_ls5t_ard_3-0-0_109076_2003-07-02_final
2003-10-17 10:33:30	ga_ls5t_ard_3-0-0_106075_2003-10-17_final
2003-12-19 11:30:14	ga_ls5t_ard_3-0-0_115076_2003-12-19_final
2004-06-18 10:56:02	ga_ls5t_ard_3-0-0_109076_2004-06-18_final
2004-11-12 09:49:10	ga_ls5t_ard_3-0-0_098070_2004-11-12_final
2005-11-14 09:16:25	ga_ls5t_ard_3-0-0_091088_2005-11-13_final
2006-03-15 09:08:36	ga_ls5t_ard_3-0-0_090077_2006-03-14_final
2006-09-16 09:09:56	ga_ls5t_ard_3-0-0_089089_2006-09-15_final
2007-07-12 10:26:56	ga_ls5t_ard_3-0-0_102081_2007-07-12_final
2008-09-01 09:21:07	ga_ls5t_ard_3-0-0_093076_2008-08-31_final
2008-10-11 10:09:42	ga_ls5t_ard_3-0-0_101077_2008-10-11_final
2008-12-28 10:20:26	ga_ls5t_ard_3-0-0_103072_2008-12-28_final
2010-01-09 10:20:02	ga_ls5t_ard_3-0-0_102071_2010-01-09_final
2010-02-05 10:00:24	ga_ls5t_ard_3-0-0_099068_2010-02-05_final
2011-08-29 10:37:43	ga_ls5t_ard_3-0-0_105074_2011-08-29_final

Return to ga_ls5t_ard_3 whole collection overview

ga_ls5t_ard_3: Geoscience Australia Landsat 5 Thematic Mapper Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years